Gemma 4 26B A4B

Name: Google Gemma 4 26B A4B
Author: DeepMind

Chat modelGemmaGemma 4

Google Gemma 4 26B A4B

Release date: 2026-04-02Updated: 2026-07-17 23:18:14.628Knowledge cutoff: 2025-011,167

Live demoGitHubHugging Face Compare

Parameters

25.2B

Context length

256K

Chinese support

Not supported

Reasoning ability

Gemma 4 26B A4B is a chat model from DeepMind, released on 2026-04-02. It accepts text and image input and returns text output. The cataloged parameter count is 25.2B, with 3.8B active parameters per inference. The recorded context window is 256K, and the recorded maximum output is 32K. Cataloged capabilities include Reasoning model. The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemma 4 26B A4B

Model basics

Reasoning traces

Supported

Thinking modes

Thinking Mode (Default)Standard Mode

Context length

256K tokens

Max output length

32K tokens

Model type

Chat model

Modality (in / out)

Text, Image → Text

Release date

2026-04-02

Model file size

No data

MoE architecture

Yes

Total params / Active params

25.2B / 3.8B

Knowledge cutoff

2025-01

Gemma 4 26B A4B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/google/gemma-4-26b-a4b

Live demo

https://ai.google.dev/gemma

Gemma 4 26B A4B

Official resources

Paper

DataLearnerAI blog

Gemma 4 26B A4B

API details

API speed

No data

No public API pricing yet.

Gemma 4 26B A4B

Benchmark Results

Gemma 4 26B A4B currently shows benchmark results led by LiveCodeBench (34 / 123, score 77.10), MMLU Pro (49 / 132, score 82.60), GPQA Diamond (70 / 187, score 82.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

General Knowledge

4 evaluations

Benchmark / mode

Score

Rank/total

MMLU Pro

Thinking Mode

82.60

49 / 132

GPQA Diamond

Thinking Mode

82.30

70 / 187

HLE

Thinking Mode

8.70

149 / 170

HLE

Thinking ModeToolsInternet

17.20

129 / 170

Coding and Software Engineer

1 evaluations

Benchmark / mode

Score

Rank/total

LiveCodeBench

Thinking Mode

77.10

34 / 123

Agent Level Benchmark

1 evaluations

Benchmark / mode

Score

Rank/total

τ²-Bench

Thinking ModeTools

68.20

26 / 43

Text Embedding

1 evaluations

Benchmark / mode

Score

Rank/total

Context Arena

Thinking Mode

44.10

1 / 1

Math and Reasoning

1 evaluations

Benchmark / mode

Score

Rank/total

AIME 2026

Thinking Mode

88.30

16 / 18

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Gemma 4 26B A4B

Publisher

DeepMind

View publisher details

Google Gemma 4 26B A4B

Model Overview

Gemma 4 26B A4B is a chat model from DeepMind, released on 2026-04-02.

It accepts text and image input and produces text output. Its cataloged capabilities include Reasoning model. The cataloged parameter count is 25.2B, with 3.8B active parameters per inference. The recorded context window is 256K, and the recorded maximum output is 32K.

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. The evaluation section contains 8 cataloged benchmark results with their recorded modes and scores. The page links 4 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Gemma 4 26B A4B

FAQ

What is Gemma 4 26B A4B?

What input and output modalities does Gemma 4 26B A4B support?

The current model record lists text and image as input and text as output.

What are the main recorded specifications for Gemma 4 26B A4B?

The cataloged parameter count is 25.2B, with 3.8B active parameters per inference. The recorded context window is 256K, and the recorded maximum output is 32K. Fields without a source-backed value remain undisclosed.

Why is no API price shown for Gemma 4 26B A4B?

Open-weight checkpoint; Google publishes no billable first-party token price for this exact checkpoint.

Are benchmark results available for Gemma 4 26B A4B?

The evaluation section contains 8 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Gemma 4 26B A4B open source?

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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